from Google Colab

config.json

@@ -0,0 +1,53 @@
+{
+  "_num_labels": 1,
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bad_words_ids": null,
+  "bos_token_id": 0,
+  "decoder_start_token_id": null,
+  "do_sample": false,
+  "early_stopping": false,
+  "eos_token_id": 2,
+  "finetuning_task": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "is_decoder": false,
+  "is_encoder_decoder": false,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "length_penalty": 1.0,
+  "max_length": 20,
+  "max_position_embeddings": 514,
+  "min_length": 0,
+  "model_type": "xlm-roberta",
+  "no_repeat_ngram_size": 0,
+  "num_attention_heads": 16,
+  "num_beams": 1,
+  "num_hidden_layers": 24,
+  "num_return_sequences": 1,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "output_past": true,
+  "pad_token_id": 1,
+  "prefix": null,
+  "pruned_heads": {},
+  "repetition_penalty": 1.0,
+  "task_specific_params": null,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "torchscript": false,
+  "type_vocab_size": 1,
+  "use_bfloat16": false,
+  "vocab_size": 250002
+}

eval_results.txt

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+eval_loss = 0.02433277352778964
+mae = 0.11673669
+pearson_corr = 0.7852341494662524
+spearman_corr = 0.7869275011613553

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:03e2bc90c3849b5468045a4bf13a09d41daf270c572eda2427854071b894f9dc
+size 2243863022

sentencepiece.bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"}

tokenizer_config.json

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+{"do_lower_case": false, "max_len": 512}